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benchmark_linear.py
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benchmark_linear.py
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import os
import sys
import timeit
import h5py
import numpy as np
n, k, l = 500000, 50, 128
def create(filename):
"""Create a contiguous array of size (n,k,l)."""
with h5py.File(filename, "w") as f:
print("Creating HDF5 file...")
a = f.create_dataset('/test',dtype=np.int16,
shape=(n,k,l))
n_ = n//10
for i in range(10):
print i,
a[i*n_:(i+1)*n_,...] = np.random.randint(size=(n_,k,l),
low=-32000,
high=32000)
filename = 'test.h5'
if not os.path.exists(filename):
create(filename)
def read(a, out):
for j, i in enumerate(np.arange(0, n, n//size)+0):
a[i:i+1,...]
return out
size = 1000
with h5py.File(filename, "r") as f:
a = f['/test']
out = np.empty((size,k,l), dtype=a.dtype)
t0 = timeit.default_timer()
read(a, out)
t1 = timeit.default_timer()
d = t1-t0
bandwidth = size*k*l*2/(1024*1024.)/d
print("Elapsed: {0:.2f} s".format(d))
print("Bandwidth: {0:.1f} MB/s".format(bandwidth))